物体识别过程中背侧和腹侧视觉通路的时间不对称和相互作用。

Cerebral cortex communications Pub Date : 2023-01-13 eCollection Date: 2023-01-01 DOI:10.1093/texcom/tgad003
Vladislav Ayzenberg, Claire Simmons, Marlene Behrmann
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引用次数: 0

摘要

尽管它们在解剖学和功能上有区别,但越来越多的证据表明,背侧和腹侧视觉通路相互作用,支持物体识别。然而,对这些相互作用的确切性质仍知之甚少。在背侧通路中存在与身份相关的物体信息只是腹侧输入的副产品吗?或者,背侧通路可能是物体识别的腹侧通路的输入来源吗?在目前的研究中,我们使用了高密度EEG技术,这是一种具有高时间精度和空间分辨率的技术,足以区分顶叶和颞叶,以表征物体观察过程中背侧和腹侧通路的动力学。通过多变量分析,我们发现背侧通路的类别解码先于腹侧通路。重要的是,背侧通路以时间依赖的方式预测腹侧通路的多变量反应,而不是相反。总之,这些发现表明,背侧通路是识别物体的腹侧通路的关键输入来源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Temporal asymmetries and interactions between dorsal and ventral visual pathways during object recognition.

Despite their anatomical and functional distinctions, there is growing evidence that the dorsal and ventral visual pathways interact to support object recognition. However, the exact nature of these interactions remains poorly understood. Is the presence of identity-relevant object information in the dorsal pathway simply a byproduct of ventral input? Or, might the dorsal pathway be a source of input to the ventral pathway for object recognition? In the current study, we used high-density EEG-a technique with high temporal precision and spatial resolution sufficient to distinguish parietal and temporal lobes-to characterise the dynamics of dorsal and ventral pathways during object viewing. Using multivariate analyses, we found that category decoding in the dorsal pathway preceded that in the ventral pathway. Importantly, the dorsal pathway predicted the multivariate responses of the ventral pathway in a time-dependent manner, rather than the other way around. Together, these findings suggest that the dorsal pathway is a critical source of input to the ventral pathway for object recognition.

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